Borrowing it
Nothing to install: this file belongs to abuango/pos-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abuango/pos-ai/main/.claude/skills/content-review/SKILL.mdgit clone --depth 1 https://github.com/abuango/pos-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/abuango/pos-ai/content-review)<a href="https://agentmods.dev/skills/abuango/pos-ai/content-review"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/content-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/abuango/pos-ai/content-review"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/content-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.01385 |
| Opus 5 | $0.00039 | $0.00692 |
| Sonnet 5 | $0.00016 | $0.00277 |
| Haiku 4.5 | $0.00008 | $0.00138 |
Grade A, and why
content-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Review Skill
Setup
Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).
Review written content for authentic voice, AI tell-words, and technical writing best practices. This skill applies platform-wide to any content across all contexts.
When to Use
- After drafting or editing a blog post, article, or documentation
- When the user asks to review content for quality
- When the user asks if something "sounds like AI"
- Automatically as a final pass before publishing
Process
Step 1: Scan for AI Tell-Words
Search the content file for these overused AI words (case-insensitive):
Tier 1 — Always flag:
delve, crucial, landscape, leverage, utilize, robust, seamless, comprehensive, foster, embark, elevate, encompass, cutting-edge, paradigm, synergy, spearhead, facilitate, underscores, bolster
Tier 2 — Flag if overused (more than once):
Moreover, Furthermore, Additionally, Consequently, Nevertheless, navigate (metaphorical), streamline, empower, enable, dynamic
AI Tell Phrases — Always flag:
- "In today's rapidly evolving..."
- "In the ever-changing landscape..."
- "It's important to note that..."
- "It's worth mentioning that..."
- "This is not just about X — it's about Y"
- "Let's dive in" / "Let's delve into"
- "Without further ado"
- "In conclusion" / "To sum up"
- "Stands as a testament to"
- "Whether you're a beginner or an expert"
- "One should always keep in mind"
For each flag, suggest a specific replacement.
Step 2: Check Voice and Tone
Review for these patterns:
Passive/inverted constructions from paraphrasers:
- "X is introduced by Y" → "Y introduces X"
- "X is provided by Y" → "Y provides X"
- Sentences where the subject comes after the verb
Overly formal language:
- Missing contractions (do not → don't, will not → won't, it is → it's)
- "One should consider" → "You'll want to consider"
- "Organizations must" → "You need to"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 149 lines · 79 tokens per session scan A 55b8a44b2b2b
content-review is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 5mo ago), licensed MIT. It adds 79 tokens to every session and 1,385 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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